Foundations for AI in Government: Data Quality, Federation and Frameworks

In a detailed discussion, Ian Oppermann delves into the crucial steps for government organisations to develop robust data strategies. He emphasises the importance of identifying and improving data quality, breaking down data silos, and implementing data federation. Oppermann highlights the need for a thorough understanding of existing data assets and the value they hold. He explains that while the foundational work may seem tedious, it is essential for enabling advanced applications like AI and machine learning. By focusing on these practical strategies, governments can unlock the full potential of their data and achieve significant, impactful outcomes.